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Titlebook: Soft Computing Models in Industrial and Environmental Applications; 7th International Co Václav Snášel,Ajith Abraham,Emilio S. Corchado Con

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An Ordinal Regression Approach for the Unequal Area Facility Layout Problem,rithm. Using this approach, a model obtained taking into account some objective factors and the subjective evaluation of the experts is constructed. Ordinal regression is used in this case because of the ordinal ranking between the different possible evaluations of the facility layouts made by the e
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A System Learning User Preferences for Multiobjective Optimization of Facility Layouts,ibution. A data set is constructed based on the expert evaluation of some facility layouts generated by an interactive genetic algorithm. This dataset is used for training a classification algorithm which produces a model of user subjective preferences over the layout designs. The evaluation model o
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Implementing Artificial Immune Systems for the Linear Ordering Problem,variety of real world applications. This study investigates the bio-inspired Artificial Immune Systems (AIS) as a pure metaheuristic soft computing solver of the LOP. The well known LOP library LOLIB was used to compare the results obtained by AIS and other pure soft computing metaheuristics.
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Genetic Programming of Augmenting Topologies for Hypercube-Based Indirect Encoding of Artificial Nea similar way as a well-established neuro-evolutionary algorithm NEAT (NeuroEvolution of Augmenting Topologies) does. The evolution starts from a minimal form and gradually adds structure as needed. A niching evolutionary algorithm is used to protect individuals of a variable complexity in a single
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Master Slave LMPM Position Control Using Genetic Algorithms,h world. Therefore, this paper sticks two actual topics together - linear motor and genetic algorithm. It is generally known that linear motors are maintenance free and they are able to evolve high velocity and precision which is why we made closer look on this topic. To make the linear motor more p
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